11/17/2023 0 Comments Leduc holdem![]() ![]() Minimization refers to minimizing the difference between the made decision and the optimal decision. For example, if you choose to play a slot machine that returns a value of 5 rather than a machine that returns a value of 10, then your regret would be 10-5 = 5. ![]() In brief, it’s a way to assign a value to the difference between a made decision and an optimal decision. Regret we previously touched on in the Game Theory Foundation section. For example, if in reality I didn’t bring an umbrella and got wet in the rain, I could say counterfactually, “If I had brought an umbrella, I wouldn’t have gotten wet.” called “ Regret Minimization in Games with Incomplete Information”.Ĭounterfactual means “relating to or expressing what has not happened or is not the case”. The Counterfactual Regret Minimization (CFR) algorithm was first published in a 2007 paper from the University of Alberta by Martin Zinkevich et al. ![]() Similarities with Reinforcement Learning.Simplified Counterfactual Value and Regret Computations.AIPT Section 4.1: CFR – The CFR Algorithm ![]()
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